Paul Hofman

According to our database, Paul Hofman authored at least 13 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Uncertainty Quantification with Proper Scoring Rules: Adjusting Measures to Prediction Tasks.

Paul Hofman, Yusuf Sale, Eyke Hüllermeier

CoRR, May, 2025

Credal Prediction based on Relative Likelihood.

Timo Löhr, Paul Hofman, Felix Mohr, Eyke Hüllermeier

CoRR, May, 2025

An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.

Christopher Bülte, Yusuf Sale, Timo Löhr, Paul Hofman, Gitta Kutyniok, Eyke Hüllermeier

CoRR, April, 2025

Lifting the wellbeing of adolescents and young adults with type 1 diabetes: A feasibility study of the LIFT app.

Anna Serlachius, Joanna McClintock, Anna Boggiss, Katie Babbott, Chloe Hudson, Paul Hofman, Hiran Thabrew, Alana Cavadino, Craig Jefferies, Ryan Paul, Martin de Bock, Jennifer Sherr

Int. J. Medical Informatics, 2025

2024

Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules.

Paul Hofman, Yusuf Sale, Eyke Hüllermeier

CoRR, 2024

Second-Order Uncertainty Quantification: Variance-Based Measures.

Yusuf Sale, Paul Hofman, Lisa Wimmer, Eyke Hüllermeier, Thomas Nagler

CoRR, 2024

Label-wise Aleatoric and Epistemic Uncertainty Quantification.

Yusuf Sale, Paul Hofman, Timo Löhr, Lisa Wimmer, Thomas Nagler, Eyke Hüllermeier

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

MS-CLAM: Mixed supervision for the classification and localization of tumors in Whole Slide Images.

Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Hervé Delingette

Medical Image Anal., April, 2023

Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

Lisa Wimmer, Yusuf Sale, Paul Hofman, Bernd Bischl, Eyke Hüllermeier

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Identifying Trends in Feature Attributions During Training of Neural Networks.

Elena Terzieva, Maximilian Muschalik, Paul Hofman, Eyke Hüllermeier

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Conformal Prediction with Partially Labeled Data.

Alireza Javanmardi, Yusuf Sale, Paul Hofman, Eyke Hüllermeier

Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2021

Attention-based Multiple Instance Learning with Mixed Supervision on the Camelyon16 Dataset.

Paul Tourniaire, Marius Ilie, Paul Hofman, Nicholas Ayache, Herve Delingette

Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2009

Simulation as a Decision Support Tool - Estimating the Impacts of using RFID Technologies within Biobanks.

Sylvain Housseman, Nabil Absi, Stéphane Dauzère-Pérès, Christian Chabannon, Paul Hofman

Proceedings of the Second International Conference on Health Informatics, 2009